Summary of Large Language Models For Explainable Decisions in Dynamic Digital Twins, by Nan Zhang et al.
Large Language Models for Explainable Decisions in Dynamic Digital Twinsby Nan Zhang, Christian Vergara-Marcillo, Georgios…
Large Language Models for Explainable Decisions in Dynamic Digital Twinsby Nan Zhang, Christian Vergara-Marcillo, Georgios…
Learning to Transform Dynamically for Better Adversarial Transferabilityby Rongyi Zhu, Zeliang Zhang, Susan Liang, Zhuo…
Collaboration of Teachers for Semi-supervised Object Detectionby Liyu Chen, Huaao Tang, Yi Wen, Hanting Chen,…
MetaReflection: Learning Instructions for Language Agents using Past Reflectionsby Priyanshu Gupta, Shashank Kirtania, Ananya Singha,…
Using Combinatorial Optimization to Design a High quality LLM Solutionby Samuel Ackerman, Eitan Farchi, Rami…
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teamingby Jiaxu Liu, Xiangyu Yin, Sihao…
Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness…
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Processby Ermo Hua, Biqing Qi, Kaiyan Zhang,…
Assessing Group Fairness with Social Welfare Optimizationby Violet Chen, J. N. Hooker, Derek LebenFirst submitted…
Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systemsby Shengxiang Sun, Shenzhe ZhuFirst submitted to arxiv…